Using Open CV C++ with Azure IoT Edge

If you are looking for a guide on creating an Open CV module in Python, check out a guide here. This guide will focus on creating an Azure IoT Edge module in C++. To accomplish this we need to take the following steps:

Create a new solution template

Take these steps to create an IoT Edge module based on Azure IoT C SDK using Visual Studio Code and the Azure IoT Edge extension. First you create a solution, and then you generate the first module in that solution. Each solution can contain more than one module.

In Visual Studio Code, select View > Integrated Terminal.

Select View > Command Palette.

In the command palette, enter and run the command Azure IoT Edge: New IoT Edge Solution.

Browse to the folder where you want to create the new solution. Choose Select folder.

Enter a name for your solution.

Select C Module as the template for the first module in the solution.

Enter a name for your module. Choose a name that’s unique within your container registry.

Provide the name of the module’s image repository. VS Code autopopulates the module name with localhost:5000. Replace it with your own registry information. If you use a local Docker registry for testing, then localhost is fine. If you use Azure Container Registry, then use the login server from your registry’s settings. The login server looks like .azurecr.io.

VS Code takes the information you provided, creates an IoT Edge solution, and then loads it in a new window.

There are four items within the solution:

A .vscode folder contains debug configurations.

A modules folder has subfolders for each module. At this point, you only have one. But you can add more in the command palette with the command Azure IoT Edge: Add IoT Edge Module.

The environment file is only created if you provide an image repository for the module. If you accepted the localhost defaults to test and debug locally, then you don’t need to declare environment variables.

Develop your module

The default C module code that comes with the solution is located at modules > > main.c. The module and the deployment.template.json file are set up so that you can build the solution, push it to your container registry, and deploy it to a device to start testing without touching any code. The module is built to simply take input from a source (in this case, the tempSensor module that simulates data) and pipe it to IoT Hub.

When you’re ready to customize the C template with your own code, use the Azure IoT Hub SDKs to build modules that address the key needs for IoT solutions such as security, device management, and reliability.

Build and deploy your module for debugging

In each module folder, there are several Docker files for different container types. Use any of these files that end with the extension .debug to build your module for testing. Currently, C modules support debugging only in Linux amd64 containers.

In VS Code, navigate to the deployment.template.json file. Update your module image URL by adding .debug to the end.

Replace the Node.js module createOptions in deployment.template.json with below content and save this file:

"createOptions": "{\"HostConfig\": {\"Privileged\": true}}"

In the VS Code command palette, enter and run the command Edge: Build IoT Edge solution.

Select the deployment.template.json file for your solution from the command palette.

You’ll see the deployment successfully created with a deployment ID in a VS Code-integrated terminal.

Check your container status in the VS Code Docker explorer or by running the docker ps command in the terminal.

Start debugging C module in VS Code

VS Code keeps debugging configuration information in a launch.json file located in a .vscode folder in your workspace. This launch.json file was generated when you created a new IoT Edge solution. It updates each time you add a new module that supports debugging.

Navigate to the VS Code debug view. Select the debug configuration file for your module. The debug option name should be similar to ModuleName Remote Debug (C).

Once that was added to the CMakeLists.txt, the main.cpp file was changed to the following code:

Deploy the Azure IoT Edge Module

Once you create IoT Edge modules with your business logic, you want to deploy them to your devices to operate at the edge. If you have multiple modules that work together to collect and process data, you can deploy them all at once and declare the routing rules that connect them.

This article shows how to create a JSON deployment manifest, then use that file to push the deployment to an IoT Edge device. For information about creating a deployment that targets multiple devices based on their shared tags, see Deploy and monitor IoT Edge modules at scale

To deploy modules using Visual Studio Code, save the deployment manifest locally as a .JSON file. You will use the file path in the next section when you run the command to apply the configuration to your device.

Sign in to access your IoT hub

You can use the Azure IoT extensions for Visual Studio Code to perform operations with your IoT hub. For these operations to work, you need to sign in to your Azure account and select the IoT hub that you are working on.

In Visual Studio Code, open the Explorer view.

At the bottom of the Explorer, expand the Azure IoT Hub Devices section.

Click on the … in the Azure IoT Hub Devices section header. If you don’t see the ellipsis, hover over the header.

Choose Select IoT Hub.

If you are not signed in to your Azure account, follow the prompts to do so.

Select your Azure subscription.

Select your IoT hub.

Deploy to your device

You deploy modules to your device by applying the deployment manifest that you configured with the module information.

Right-click on the device that you want to configure with the deployment manifest.

Select Create Deployment for IoT Edge Device.

Navigate to the deployment manifest JSON file that you want to use, and click Select Edge Deployment Manifest.

The results of your deployment are printed in the VS Code output. Successful deployments are applied within a few minutes if the target device is running and connected to the internet.

View modules on your device

Once you’ve deployed modules to your device, you can view all of them in the Azure IoT Hub Devices section. Select the arrow next to your IoT Edge device to expand it. All the currently running modules are displayed.

If you recently deployed new modules to a device, hover over the Azure IoT Hub Devices section header and select the refresh icon to update the view.

Right-click the name of a module to view and edit the module twin.

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Published by Jared Rhodes

As a Microsoft MVP for Azure, I focus on IoT, Mobile, and Cloud; trying to find the subsection of those and make them work together. Lately, I have working with AI and Edge computing as the they evolve together. I enjoy public speaking, walks on the beach, and no linker errors.
View all posts by Jared Rhodes

3 thoughts on “Using Open CV C++ with Azure IoT Edge”

Thank you for the tutorial Jared ! I’m having problems with the “Create a working Open CV Build”, when I paste the “FIND_PACKAGE (OpenCV REQUIRED)” line, I receive this error building it :

“CMake Error at CMakeLists.txt:6 (find_package):
By not providing “FindOpenCV.cmake” in CMAKE_MODULE_PATH this project has
asked CMake to find a package configuration file provided by “OpenCV”, but
CMake did not find one.

Could not find a package configuration file provided by “OpenCV” with any
of the following names:

OpenCVConfig.cmake
opencv-config.cmake

Add the installation prefix of “OpenCV” to CMAKE_PREFIX_PATH or set
“OpenCV_DIR” to a directory containing one of the above files. If “OpenCV”
provides a separate development package or SDK, be sure it has been
installed.”